This post is part of Series Business Intelligence – Tools & Theory
Currently running topic for this series is listed as below :
Series Business Intelligence – Tools & Theory
>>Chapter 1 : Business Intelligence an Introduction
>>Chapter 2 : Business Intelligence Essentials
>>Chapter 3 : Business Intelligence Types
>>Chapter 4 : Architecting the Data
>>Chapter 5 : Introduction of Data Mining
>>Chapter 6 : Data Mining Techniques
>>Chapter 7 : Introduction to Data Warehousing
>>Chapter 8 : Different Ways of Data Warehousing
>>Chapter 9 : Knowledge Management
>>Chapter 10 : Data Extraction
>>Chapter 11 : Business Intelligence Life Cycle<You are here>
Continuing from my previous post on this series, If you have missed any link please visit link below
We are going to Cover the Following Points in this article
- Parallel Development Tracks
- BI Framework
Parallel Development Tracks
Parallel Development Tracks each BI project which has minimum three development tracks running in parallel to the project specifications have been described and before execution.
The ETL Track
The ETL track is usually called as the back end. The main objective of this development track is to develop and distribute the BI target databases. The ETL track is suppose to be the most difficult and significant track of a BI project. The latest OLAP tools in the world will not give most important benefit if the BI target databases are not designed appropriately or if they are occupied with unwanted data. The employees who are working on the ETL track are generally trained from expert business analysts, knowledgeable database supervisors, and leading programmers.
The Application Track
The Application track is generally called as the front end. The objective of this development track is to plan and develop the access and analysis functions.
The main basis for developing BI decision-support surroundings is to convey significant information: Offer simple, quick access to the business information. The team members for the Application track are generally trained with subject matter experts, and programmers, who are familiarized with languages, can efficiently use OLAP tools, and have knowledge in developing client/server-based decision-support applications that integrate graphical user interfaces.
The Meta Data Repository Track
Meta data is a compulsory deliverable with any BI solution. No way, it can be pushed aside as documentation as it should provide the business community as a navigation instrument for the BI atmosphere. As a result, the idea of this development track is to plan, develop, and occupy a meta data repository. The team members are in charge for planning and developing the access interface and the questioning abilities for the meta data repository. The team members for the Meta Data Repository track is generally trained with a meta data supervisors and developers who have knowledge in developing client/server-based interfaces and are familiar with web applications.
The BI Framework joins some significant aspects that motivate business operations and the IT structures that encourage them. These aspects are people, procedures, methods, and performances.
Employees are the basic foundation on which the industry is developed. Without having good workers an organization will not succeed. How employees achieve their tasks in the company is varying. The rapidity of business in recent times defines that employees can no more be seated in ivory towers, or control and limit the course of information inside the organization. If information is vital then it has to be readily obtainable to the people who require it for their profession.
As higher management defines business schedules and objectives they should communicate with them throughout the company hierarchy. Goals must be set and measured, and workers must be explained what has been look forward from them. Employee compensation should generally be tied to achieving expected targets. Planning, budgeting, and forecasting systems form the basis of the planning process, but collaboration capabilities are required for communicating plans and goals, and business intelligence is essential for monitoring and managing targets. Methodologies like balanced scorecards are also valuable for formalizing the planning process and managing targets.
Once business plans and initiatives are agreed on, they are implemented in business processes. Business process management is a growing technology for modeling, simulating, deploying, integrating, and monitoring business processes. At present, process management is used primarily with operational business transaction applications, but the need to manage document and information workflows is bringing process management concepts and technologies into the collaborative application environment.
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